Risk Based E Business Testing
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Risk-based E-business Testing
This hands-on guide for business, project and test managers and test practitioners presents an effective approach for using risk to construct test strategies for e-business systems. Using an easily-learned risk-analysis technique, it teaches you how to use risk to select and prioritize test methods for e-business projects. This innovative resource shows you how to select test techniques to address business risks and integrate them into a coherent test process.
Networked Systems
This book constitutes the thoroughly refereed conference proceedings of the 5th International Conference on Networked Systems, NETYS 2017, held in Marrakech, Morocco, in May 2017. The 28 full and 6 short papers presented together with 3 keynotes were carefully reviewed and selected from 81 submissions. They are organized around the following topics: networking; distributed algorithms; atomicity; security and privacy; software engineering; concurrency and specifications; policies; agreement and consensus; clustering based techniques; verification; communication.
Analytic Methods in Systems and Software Testing
A comprehensive treatment of systems and software testing using state of the art methods and tools This book provides valuable insights into state of the art software testing methods and explains, with examples, the statistical and analytic methods used in this field. Numerous examples are used to provide understanding in applying these methods to real-world problems. Leading authorities in applied statistics, computer science, and software engineering present state-of-the-art methods addressing challenges faced by practitioners and researchers involved in system and software testing. Methods include: machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability modeling. Analytic Methods in Systems and Software Testing presents its comprehensive collection of methods in four parts: Part I: Testing Concepts and Methods; Part II: Statistical Models; Part III: Testing Infrastructures; and Part IV: Testing Applications. It seeks to maintain a focus on analytic methods, while at the same time offering a contextual landscape of modern engineering, in order to introduce related statistical and probabilistic models used in this domain. This makes the book an incredibly useful tool, offering interesting insights on challenges in the field for researchers and practitioners alike. Compiles cutting-edge methods and examples of analytical approaches to systems and software testing from leading authorities in applied statistics, computer science, and software engineering Combines methods and examples focused on the analytic aspects of systems and software testing Covers logistic regression, machine learning, Bayesian methods, graphical models, experimental design, generalized regression, and reliability models Written by leading researchers and practitioners in the field, from diverse backgrounds including research, business, government, and consulting Stimulates research at the theoretical and practical level Analytic Methods in Systems and Software Testing is an excellent advanced reference directed toward industrial and academic readers whose work in systems and software development approaches or surpasses existing frontiers of testing and validation procedures. It will also be valuable to post-graduate students in computer science and mathematics.